learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	11.2303	0.0210	11.2284	3.3509
No log	2.0	4	10.5705	0.0	10.5686	3.2509
No log	3.0	6	9.7782	0.0	9.7764	3.1267
No log	4.0	8	8.4493	0.0	8.4477	2.9065
No log	5.0	10	7.4830	0.0	7.4814	2.7352
No log	6.0	12	6.9036	0.0	6.9020	2.6272
No log	7.0	14	6.0098	0.0120	6.0083	2.4512
No log	8.0	16	5.0390	0.0	5.0378	2.2445
No log	9.0	18	4.1175	0.0	4.1165	2.0289
No log	10.0	20	3.2194	0.0	3.2184	1.7940
No log	11.0	22	2.6332	0.0	2.6323	1.6224
No log	12.0	24	2.1755	0.1121	2.1747	1.4747
No log	13.0	26	1.8914	0.0193	1.8908	1.3750
No log	14.0	28	1.5646	0.0166	1.5641	1.2506
No log	15.0	30	1.3367	0.0166	1.3361	1.1559
No log	16.0	32	1.0585	0.0102	1.0581	1.0286
No log	17.0	34	0.9670	0.0126	0.9665	0.9831
No log	18.0	36	0.8270	0.3290	0.8267	0.9092
No log	19.0	38	0.9405	0.1974	0.9405	0.9698
No log	20.0	40	0.8900	0.2827	0.8900	0.9434
No log	21.0	42	0.7356	0.3921	0.7356	0.8577
No log	22.0	44	0.7692	0.4411	0.7693	0.8771
No log	23.0	46	1.0328	0.2886	1.0331	1.0164
No log	24.0	48	1.1399	0.3031	1.1405	1.0679
No log	25.0	50	1.4264	0.2675	1.4273	1.1947
No log	26.0	52	1.4741	0.2970	1.4751	1.2145
No log	27.0	54	2.5024	0.1517	2.5033	1.5822
No log	28.0	56	2.2729	0.1961	2.2740	1.5080
No log	29.0	58	0.7743	0.5097	0.7750	0.8804
No log	30.0	60	0.6879	0.5176	0.6885	0.8298
No log	31.0	62	1.0227	0.3924	1.0235	1.0117
No log	32.0	64	1.5795	0.3009	1.5804	1.2571
No log	33.0	66	0.9221	0.4563	0.9229	0.9607
No log	34.0	68	0.6679	0.5484	0.6686	0.8177
No log	35.0	70	0.7139	0.4896	0.7146	0.8453
No log	36.0	72	1.1800	0.3673	1.1809	1.0867
No log	37.0	74	0.9786	0.4015	0.9794	0.9897
No log	38.0	76	0.8204	0.4937	0.8213	0.9063
No log	39.0	78	1.1347	0.3801	1.1357	1.0657
No log	40.0	80	1.2420	0.3285	1.2430	1.1149
No log	41.0	82	0.9080	0.4526	0.9090	0.9534
No log	42.0	84	1.0439	0.3822	1.0450	1.0222
No log	43.0	86	1.1436	0.3552	1.1447	1.0699
No log	44.0	88	0.8168	0.4803	0.8177	0.9043
No log	45.0	90	0.9004	0.4630	0.9014	0.9494
No log	46.0	92	1.5484	0.2787	1.5496	1.2448
No log	47.0	94	1.5001	0.2906	1.5013	1.2253
No log	48.0	96	0.9377	0.4615	0.9388	0.9689
No log	49.0	98	0.9226	0.4499	0.9237	0.9611

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold3

Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold3